Literature DB >> 20377280

Beyond distance and direction: the brain represents target locations non-metrically.

Lore Thaler1, Melvyn A Goodale.   

Abstract

In their day-to-day activities human beings are constantly generating behavior, such as pointing, grasping or verbal reports, on the basis of visible target locations. The question arises how the brain represents target locations. One possibility is that the brain represents them metrically, i.e. in terms of distance and direction. Another equally plausible possibility is that the brain represents locations non-metrically, using for example ordered geometry or topology. Here we report two experiments that were designed to test if the brain represents locations metrically or non-metrically. We measured accuracy and variability of visually guided reach-to-point movements (Experiment 1) and probe-stimulus adjustments (Experiment 2). The specific procedure of informing subjects about the relevant response on each trial enabled us to dissociate the use of non-metric target location from the use of metric distance and direction in head/eye-centered, hand-centered and externally defined (allocentric) coordinates. The behavioral data show that subjects' responses are least variable when they can direct their response at a visible target location, the only condition that permitted the use of non-metric information about target location in our experiments. Data from Experiments 1 and 2 correspond well quantitatively. Response variability in non-metric conditions cannot be predicted based on response variability in metric conditions. We conclude that the brain uses non-metric geometrical structure to represent locations.

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Year:  2010        PMID: 20377280     DOI: 10.1167/10.3.3

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  7 in total

1.  Reaction times for allocentric movements are 35 ms slower than reaction times for target-directed movements.

Authors:  Lore Thaler; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2011-04-24       Impact factor: 1.972

2.  Gaze and posture coordinate differently with the complexity of visual stimulus motion.

Authors:  Joshua L Haworth; Srikant Vallabhajosula; Nicholas Stergiou
Journal:  Exp Brain Res       Date:  2014-05-04       Impact factor: 1.972

Review 3.  How (and why) the visual control of action differs from visual perception.

Authors:  Melvyn A Goodale
Journal:  Proc Biol Sci       Date:  2014-04-30       Impact factor: 5.349

4.  Number magnitude to finger mapping is disembodied and topological.

Authors:  Myrthe A Plaisier; Jeroen B J Smeets
Journal:  Exp Brain Res       Date:  2011-02-06       Impact factor: 1.972

Review 5.  Towards a unified perspective of object shape and motion processing in human dorsal cortex.

Authors:  Gennady Erlikhman; Gideon P Caplovitz; Gennadiy Gurariy; Jared Medina; Jacqueline C Snow
Journal:  Conscious Cogn       Date:  2018-05-18

6.  Bayesian modeling of perceived surface slant from actively-generated and passively-observed optic flow.

Authors:  Corrado Caudek; Carlo Fantoni; Fulvio Domini
Journal:  PLoS One       Date:  2011-04-14       Impact factor: 3.240

7.  Neural substrates of visual spatial coding and visual feedback control for hand movements in allocentric and target-directed tasks.

Authors:  Lore Thaler; Melvyn A Goodale
Journal:  Front Hum Neurosci       Date:  2011-08-31       Impact factor: 3.169

  7 in total

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